Data Engineer
Employment Information
Job Description
Data Engineer at Inetum responsible for designing and developing scalable data systems. Collaborating with teams on real-time data pipelines and machine learning infrastructure.
Responsibilities:
- Join the Data Engineer team to design, develop and operate large-scale data systems at petabyte scale.
- Focus on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure.
- Collaborate with engineers, product managers, BI developers and architects to provide scalable technical solutions.
Requirements:
- Bachelor's degree in Systems Engineering, Computer Science, Mathematics, or related field.
- If you do not meet this educational requirement, you must have Min 6-8 years of BIG data development experience.
- Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development.
- Experience in agile models.
- Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low-latency, and fault-tolerance in every system built.
- Experience with Java, Python to write data pipelines and data processing layers.
- Experience in Airflow & Github.
- English conversational.
- Experience in writing map-reduce jobs.
- Demonstrates expertise in writing complex, highly-optimized queries across large data sets.
- Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase.
- Highly Proficient in SQL.
- Experience with Cloud Technologies ( GCP, Azure).
- Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid).
- Provides and supports the implementation and operations of the data pipelines and analytical solutions.
- Performance tuning experience of systems working with large data sets.
- Experience in REST API data service – Data Consumption.
- Retail experience is a huge plus.
Benefits:
- Continuing education programs and certifications.
- Access to learning and professional development platforms.
- Culture of innovation and collaboration.
- Physical and emotional wellness programs.
- Opportunities for growth in international projects.
- Recognition and rewards for performance.
- Base salary
- Benefits above the legal minimum
- Life insurance
- Major medical insurance
- Grocery vouchers
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